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Ai Maria Db Store Laravel Package
symfony/ai-maria-db-store
MariaDB vector store integration for Symfony AI Store. Requires MariaDB 11.7+ for VECTOR columns, vector indexing, and distance search. Useful for building RAG and similarity search apps backed by MariaDB.
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| symfony/ai-neo4j-store | 0.86 | Neo4j Store integration for Symfony AI Store, enabling use of Neo4j as a vector store with support for vector indexes. Includes links to Neo4j documentation and Symfony AI resources for contributing and reporting issues. | 1 | 1 | 0 | 102 | 0 | 22.8 | 27.9 | MIT | 2 weeks ago | |
| martin-georgiev/postgresql-for-doctrine | 0.85 | Adds PostgreSQL-specific power to Doctrine DBAL/ORM: rich native types (jsonb, arrays, ranges, network, geometric, etc.) plus DQL functions/operators for JSON and array querying. Supports PostgreSQL 9.4+ and PHP 8.2+. | 456 | 460 | 58 | 159K | 9 | 34.5 | 44.3 | MIT | 1 month ago | |
| symfony/ai-supabase-store | 0.84 | Supabase vector store integration for Symfony AI Store using PostgreSQL pgvector. Connect your Symfony AI apps to Supabase vector columns and the match_documents RPC for similarity search, with links to Supabase docs and Symfony AI contribution/resources. | 2 | 2 | 0 | 110 | 0 | 23.0 | 25.6 | MIT | 2 weeks ago | |
| symfony/ai-store | 0.84 | Experimental Symfony AI Store component: a low-level abstraction to store and retrieve documents in vector stores. Use bridge packages to connect to providers like pgvector, Pinecone, Redis, Elasticsearch, Qdrant, ChromaDB, and more. | 22 | 22 | 4 | 40K | 0 | 23.4 | 52.5 | MIT | 2 weeks ago | |
| symfony/ai-click-house-store | 0.84 | ClickHouse vector store integration for Symfony AI Store. Store and query embeddings in ClickHouse using distance functions and ANN/vector indexes for fast similarity search. Links to ClickHouse docs plus Symfony AI contributing and issue tracker. | 1 | 1 | 0 | 97 | 0 | 22.8 | 27.6 | MIT | 2 weeks ago | |
| symfony/ai-vektor-store | 0.84 | Symfony AI Store integration for the Vektor vector database. Use Vektor as a vector store backend in Symfony AI apps to store, index, and query embeddings for retrieval and semantic search. Links to Vektor docs and Symfony AI contribution resources. | 0 | 0 | 0 | 103 | 0 | 22.0 | 32.8 | MIT | 2 weeks ago | |
| symfony/ai-manticore-search-store | 0.84 | ManticoreSearch Store integrates ManticoreSearch as a vector store for Symfony AI Store, enabling KNN/vector similarity search backed by Manticore’s engine. Includes links to Manticore KNN docs plus Symfony AI contribution and issue resources. | 3 | 3 | 0 | 167 | 0 | 23.0 | 26.5 | MIT | 2 weeks ago | |
| symfony/ai-postgres-store | 0.83 | Symfony AI Store integration for PostgreSQL using pgvector. Store and query embeddings with Postgres vector/halfvec types, distance operators, and indexing options. Links to pgvector docs plus Symfony AI contribution and issue resources. | 2 | 2 | 1 | 7K | 0 | 23.0 | 55.2 | MIT | 2 weeks ago | |
| symfony/ai-chroma-db-store | 0.83 | ChromaDB Store integration for Symfony AI Store. Use ChromaDB as a vector store to manage collections and run query/get operations for embeddings and similarity search. Includes links to Chroma docs plus Symfony AI contributing and issue/PR resources. | 0 | 0 | 0 | 3K | 0 | 22.4 | 55.4 | MIT | 2 weeks ago | |
| symfony/ai-pinecone-store | 0.83 | Symfony AI Store integration for Pinecone vector databases. Upsert, query, and delete embeddings, and work with Pinecone serverless indexes using Pinecone’s data/control plane APIs. Links to official Pinecone docs and Symfony AI contribution resources. | 2 | 2 | 0 | 126 | 0 | 22.4 | 26.4 | MIT | 2 weeks ago | |
| centamiv/vektor | 0.83 | Laravel package for integrating Vektor telephony/CRM features: manage calls, events, and related data via a clean PHP API. Provides simple configuration, service classes, and helpers to streamline connecting your app to Vektor workflows. | 36 | 35 | 3 | 7K | 0 | 20.2 | 36.7 | MIT | 1 month ago | |
| symfony/ai-redis-store | 0.83 | Redis-backed vector store for Symfony AI Store. Create and query vector indexes in Redis using RediSearch (FT.CREATE/FT.SEARCH) with KNN and DIALECT 2 support. Ideal for semantic search and retrieval workflows powered by Redis vector features. | 1 | 1 | 0 | 1K | 0 | 22.7 | 45.7 | MIT | 2 weeks ago | |
| symfony/ai-cache-store | 0.83 | Symfony AI Cache Store integrates a cache-backed vector store with Symfony AI Store, enabling lightweight storage and retrieval of embeddings using Symfony Cache. Ideal for development, testing, and small deployments where simplicity matters. | 1 | 1 | 0 | 403 | 0 | 22.8 | 37.4 | MIT | 2 weeks ago | |
| symfony/ai-open-search-store | 0.83 | OpenSearch vector store integration for Symfony AI Store. Index and query embeddings using OpenSearch knn_vector fields and k‑NN/approximate k‑NN search. Links to OpenSearch docs and contribution resources in the main Symfony AI repo. | 1 | 1 | 0 | 560 | 0 | 22.8 | 39.9 | MIT | 2 weeks ago | |
| symfony/ai-surreal-db-store | 0.83 | SurrealDB vector store integration for Symfony AI Store. Use SurrealDB’s vector indexing and search (MTREE/HNSW) to store embeddings and perform similarity queries, leveraging SurrealQL vector functions for retrieval in Symfony AI applications. | 1 | 1 | 0 | 102 | 0 | 22.8 | 27.8 | MIT | 2 weeks ago | |
| symfony/ai-s3vectors-store | 0.82 | Symfony AI Store integration for AWS S3 Vectors. Store embeddings in S3 vector buckets and run similarity queries via the S3 Vectors API (PutVectors/QueryVectors). Useful for retrieval and semantic search using managed AWS infrastructure. | 0 | 0 | 0 | 100 | 0 | 22.0 | 32.6 | MIT | 2 weeks ago | |
| symfony/ai-qdrant-store | 0.82 | Qdrant Store integrates the Qdrant vector database with Symfony AI Store, enabling you to manage collections and points and run unified vector search with filters. Provides a Symfony-friendly bridge to Qdrant for embedding-based retrieval use cases. | 2 | 2 | 0 | 6K | 0 | 22.9 | 53.2 | MIT | 2 weeks ago | |
| symfony/ai-cloudflare-store | 0.82 | Integrates Cloudflare Vectorize as a vector store for Symfony AI Store. Supports indexing and querying embeddings plus upserts and deletions via the Vectorize APIs, making it easy to connect Symfony AI apps to Cloudflare’s managed vector database. | 1 | 1 | 0 | 106 | 0 | 22.9 | 28.1 | MIT | 2 weeks ago | |
| symfony/ai-typesense-store | 0.82 | Typesense Store integrates the Typesense vector database with Symfony AI Store, enabling vector indexing and similarity search via Typesense’s vector search API. Part of the Symfony AI ecosystem, with issues and PRs handled in the main Symfony AI repo. | 0 | 0 | 0 | 97 | 0 | 22.5 | 32.2 | MIT | 2 weeks ago | |
| symfony/ai-sqlite-store | 0.82 | SQLite vector store integration for Symfony AI Store. Supports full-text search via SQLite FTS5 and computes vector similarity distances in PHP. Compatible with sqlite-vec (vec0) extension for embedding storage and retrieval. | 0 | 0 | 0 | 77 | 0 | 21.6 | 29.4 | MIT | 2 weeks ago |
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